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Financial Modeling Using Quantum Computing

You're reading from   Financial Modeling Using Quantum Computing Design and manage quantum machine learning solutions for financial analysis and decision making

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781804618424
Length 292 pages
Edition 1st Edition
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Authors (4):
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Iraitz Montalban Iraitz Montalban
Author Profile Icon Iraitz Montalban
Iraitz Montalban
Anshul Saxena Anshul Saxena
Author Profile Icon Anshul Saxena
Anshul Saxena
Javier Mancilla Javier Mancilla
Author Profile Icon Javier Mancilla
Javier Mancilla
Christophe Pere Christophe Pere
Author Profile Icon Christophe Pere
Christophe Pere
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Basic Applications of Quantum Computing in Finance
2. Chapter 1: Quantum Computing Paradigm FREE CHAPTER 3. Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem 4. Chapter 3: Quantum Finance Landscape 5. Part 2: Advanced Applications of Quantum Computing in Finance
6. Chapter 4: Derivative Valuation 7. Chapter 5: Portfolio Management 8. Chapter 6: Credit Risk Analytics 9. Chapter 7: Implementation in Quantum Clouds 10. Part 3: Upcoming Quantum Scenario
11. Chapter 8: Simulators and HPC’s Role in the NISQ Era 12. Chapter 9: NISQ Quantum Hardware Roadmap 13. Chapter 10: Business Implementation 14. Index 15. Other Books You May Enjoy

Summary

Computing paradigms, such as calculators and analog and digital computers, have evolved over the years to assist humans in making rapid strides in technological developments and reaching new knowledge frontiers. The contributions of Jon von Neumann, Alan Turing, and Graham Moore have been immense in achieving superior computing power.

The current business environment has given rise to the need to make faster and more accurate decisions based on data. Hence, there is a need for faster, optimized computers to process large amounts of data.

Digital computers cannot solve NP-hard problems, including simulation, optimization, and pattern-matching problems, thus emphasizing the need for new computing technologies to do faster and more accurate calculations.

Emerging computing paradigms, such as quantum computing and molecular computing, promise to solve large-scale problems such as portfolio optimization, protein foldings, and supply chain route optimization more effectively and efficiently.

Quantum computing is based on the underlying principles of quantum mechanics such as qubits and the quantum states, superposition, interference, entanglement, and quantum measurement.

Current quantum hardware and microprocessors are based on technologies such as superconducting, trapped ions, annealing, cold atoms, and simulators.

The quantum computing value chain is based on the innovations achieved using quantum solutions and technologies such as quantum sensors, quantum communication, and the quantum internet.

Global players across the value chain in the quantum computing domain include giants such as IBM, Microsoft, and Google, and well-funded start-ups such as Rigetti, IQM, and Quantinuum.

Aligning business strategy with quantum computing involves developing the strategy roadmap for companies based on quantum computing eras such as NISQ, broad quantum advantage, and full-scale fault tolerance.

The future quantum workforce needs to work on three dimensions, concerning the development of hardware, software, and related quantum technologies.

You have been reading a chapter from
Financial Modeling Using Quantum Computing
Published in: May 2023
Publisher: Packt
ISBN-13: 9781804618424
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